OpenAI: GPT-6 Luna (batch) vs Anthropic: Claude Opus 4.7: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6 Luna (batch) (openai/gpt-6-luna:batch) vs Anthropic: Claude Opus 4.7 (anthropic/claude-opus-4.7). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-6 Luna (batch) (openai/gpt-6-luna:batch) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
Anthropic: Claude Opus 4.7 (anthropic/claude-opus-4.7) — $25,000 Startup Credits & 50% Cache Promo
Anthropic's Q4 2026 developer promotion combines $25,000 in Claude API credits for early-stage builders with a permanent 20% base price reduction on Opus 5.5 ($4/$20), 0.05x ($0.20/1M) prompt cache reads, and 50% off Batch API processing ($2/$10 with 300K max output).
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-6 Luna (batch) (API ID: openai/gpt-6-luna:batch) vs Anthropic: Claude Opus 4.7 (API ID: anthropic/claude-opus-4.7), OpenAI: GPT-6 Luna (batch) offers lower standard input pricing at $0.05/1M tokens ($0.25/1M output), while OpenAI: GPT-6 Luna (batch) leads in cached prefix economics at $0.025/1M tokens (50% discount). OpenAI: GPT-6 Luna (batch) achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | OpenAI: GPT-6 Luna (batch) | Anthropic: Claude Opus 4.7 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6-luna:batch | anthropic/claude-opus-4.7 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.25 | $5 / $25 | OpenAI: GPT-6 Luna (batch) |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $2.5/1M (50% Off) | OpenAI: GPT-6 Luna (batch) |
| Context Window / Max Output | 1025K In / 125K Out | 977K In / 125K Out | OpenAI: GPT-6 Luna (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6 Luna (batch) (-0ms) |
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classi
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stron
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from OpenAI: GPT-6 Luna (batch) to Anthropic: Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stron Verified P90 latency of 280ms.